Fabrication of n-ZnO: Al∕ p-SiC (4H) heterojunction light-emitting diodes by filtered cathodic vacuum arc technique C Yuen, SF Yu, SP Lau, R Rusli, TP Chen Applied Physics Letters 86 (24), 2005 | 124 | 2005 |
Optimum placement of phasor measurement units in power systems L Sun, T Chen, X Chen, WK Ho, KV Ling, KJ Tseng, GAJ Amaratunga IEEE Transactions on Instrumentation and Measurement 68 (2), 421-429, 2018 | 50 | 2018 |
Multi-energy microgrid robust energy management with a novel decision-making strategy T Chen, Y Cao, X Qing, J Zhang, Y Sun, GAJ Amaratunga Energy 239, 121840, 2022 | 44 | 2022 |
Customized optimal μPMU placement method for distribution networks X Chen, T Chen, KJ Tseng, Y Sun, G Amaratunga 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC …, 2016 | 34 | 2016 |
Hybrid approach based on global search algorithm for optimal placement of μPMU in distribution networks X Chen, T Chen, KJ Tseng, Y Sun, G Amaratunga 2016 IEEE innovative smart grid technologies-Asia (ISGT-Asia), 559-563, 2016 | 29 | 2016 |
Full coverage of optimal phasor measurement unit placement solutions in distribution systems using integer linear programming X Chen, L Sun, T Chen, Y Sun, Rusli, KJ Tseng, KV Ling, WK Ho, ... energies 12 (8), 1552, 2019 | 27 | 2019 |
Robust Power System State Estimation Using t-Distribution Noise Model T Chen, L Sun, KV Ling, WK Ho IEEE Systems Journal 14 (1), 771-781, 2019 | 26 | 2019 |
Improved MOEA/D approach to many-objective day-ahead scheduling with consideration of adjustable outputs of renewable units and load reduction in active distribution networks J Zhang, X Zhu, T Chen, Y Yu, W Xue Energy 210, 118524, 2020 | 25 | 2020 |
Variance analysis of robust state estimation in power system using influence function WK Ho, T Chen, KV Ling, L Sun International Journal of Electrical Power & Energy Systems 92, 53-62, 2017 | 20 | 2017 |
A distributed maximum-likelihood-based state estimation approach for power systems T Chen, Y Cao, X Chen, L Sun, J Zhang, GAJ Amaratunga IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2020 | 19 | 2020 |
Optimal PMU placement approach for power systems considering non-Gaussian measurement noise statistics T Chen, Y Cao, X Chen, L Sun, J Zhang, GAJ Amaratunga International Journal of Electrical Power & Energy Systems 126, 106577, 2021 | 16 | 2021 |
A Distributed Robust Power System State Estimation Approach Using -Distribution Noise Model T Chen, Y Cao, L Sun, X Qing, J Zhang IEEE Systems Journal 15 (1), 1066-1076, 2020 | 16 | 2020 |
Distributed state estimation using a modified partitioned moving horizon strategy for power systems T Chen, YSE Foo, KV Ling, X Chen Sensors 17 (10), 2310, 2017 | 16 | 2017 |
Robust state estimation for power systems via moving horizon strategy T Chen Sustainable Energy, Grids and Networks 10, 46-54, 2017 | 13 | 2017 |
Recursive maximum likelihood estimation with t-distribution noise model L Sun, WK Ho, KV Ling, T Chen, J Maciejowski Automatica 132, 109789, 2021 | 12 | 2021 |
A fast and robust state estimator based on exponential function for power systems T Chen, H Ren, EYS Foo, L Sun, GAJ Amaratunga IEEE Sensors Journal 22 (6), 5755-5767, 2022 | 11 | 2022 |
A distributed robust state estimation algorithm for power systems considering maximum exponential absolute value T Chen, T Wu, X Qing, GAJ Amaratunga International Journal of Electrical Power & Energy Systems 133, 107267, 2021 | 9 | 2021 |
NSGA-III integrating eliminating strategy and dynamic constraint relaxation mechanism to solve many-objective optimal power flow problem J Zhang, J Cai, H Zhang, T Chen Applied Soft Computing 146, 110612, 2023 | 7 | 2023 |
Energy management for a microgrid with different charging and discharging priorities of batteries using modified grey wolf optimizer Y Cao, T Chen, X Qing, J Zhang, L Sun 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 1-5, 2019 | 7 | 2019 |
Iterated moving horizon estimation for power systems T Chen, T Tran, D Zhou, WK Ho, KV Ling The 2014 International Conference on Control, Automation and Information …, 2014 | 7 | 2014 |